@inproceedings{656efdc5a145445c84c82bd7c6cc6b9d,
title = "Extended date rate prediction for cognitive radio using ANFIS with Subtractive Clustering",
abstract = "Cognitive radio has emerged as intelligent wireless technology for solving the ever-growing demand of radio spectrum. Cognitive radio is a context aware radio, capable of observing the channel and networks parameters and make autonomously decisions on the best transceiver configuration. Cognitive radio can be made adaptive by utilizing intelligent software techniques. In this paper, we propose Subtractive Clustering with ANFIS based adaptive technique so that it works intelligently to select particular radio configuration. The system considers different time zones and subtractive clustering is used to assist ANFIS in selecting optimum number of rules and membership function. The performance of this is seen to be better than the neural network and ANFIS scheme.",
keywords = "ANFIS, cognition cycle, Cognitive radio (CR), extended scheme, spectrumhole, subtractive clustering",
author = "Hiremath, {S. M.} and Patra, {Sarat Kumar} and Mishra, {Amit Kumar}",
year = "2012",
month = dec,
day = "17",
doi = "10.1109/CODEC.2012.6509239",
language = "English",
isbn = "978-1-4673-2619-3",
series = "CODEC 2012 - 5th International Conference on Computers and Devices for Communication",
publisher = "IEEE Press",
booktitle = "CODEC 2012 - 5th International Conference on Computers and Devices for Communication",
address = "United States of America",
note = "5th International Conference on Computers and Devices for Communication, CODEC 2012 ; Conference date: 17-12-2012 Through 19-12-2012",
}